Building Sovereign AI Infrastructure: A C-Suite Guide

AI introduces new operational dependencies. Foundation-model access can be withdrawn, GPU allocations can change, export licenses can affect availability, and provider terms can shift with little warning. As organizations become increasingly dependent on AI, these risks can affect service continuity, customer trust, and control over critical AI capacity.

IDC’s Building Sovereign AI Infrastructure: A C-Suite Guide to Control, Compliance, and Competitiveness, sponsored by Penguin Solutions, examines how organizations are extending sovereignty beyond data residency to address control over data, models, compute, operations, and skills. The report explores how sovereign AI can help reduce dependency risk while supporting resilience, compliance, and long-term competitiveness.

Analyst takeaways include:

• 81% of organizations already use—or plan within 12 months to use—sovereign cloud to build or run AI workloads.
• 51% cited data privacy and security as the leading driver of sovereign cloud adoption, ahead of pure regulatory compliance.
• 63% identify dependency on foreign AI providers as a major or moderate geopolitical concern.
• Sovereignty now spans four disciplines—data and model sovereignty, technical sovereignty, operational sovereignty, and skills sovereignty—and why treating it as a single compliance checkbox leaves you exposed.

Download the IDC Analyst Brief to explore a practical framework for aligning sovereignty requirements with workload sensitivity, risk, and business objectives.